Automated multi-class brain tumor types detection by extracting Rica based features and employing machine learning techniques

DOI10.3934/mbe.2021146zbMath1471.92171OpenAlexW3114166714MaRDI QIDQ1981316

Mushtaq Ali, Lal Hussain, Tim Q. Duong, Adeel Ahmed Abbasi, Sadia Anjum

Publication date: 10 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021146

zbMATH Keywords

feature extractionimage analysismachine learninggliomapituitarymeningioma

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Natural image statistics. A probabilistic approach to early computational vision.
• Retrieval of brain tumors with region-specific bag-of-visual-words representations in contrast-enhanced MRI images
• Guest editors' preface to the special issue on conformal prediction and its applications

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